One of the main targets of Personalized Medicine is to refine the stratification of a single patient aiming to provide improved diagnosis, prognosis, and treatment for the specific individual. This can be achieved by including not only a detailed account of the patient’s health record, but also similar data from population-wide databases and clinical projects. These multiple data sources can be collected in a single and common data model to serve as a powerful platform. The model will include the necessary data science domains such as machine learning and aid the clinician in the decision-making process. To facilitate the implementation, real-time data from the electronic health report of the patient is needed. We will, in collaboration with data scientists and medical and biological professionals, establish the necessary infrastructure to promote this model in a clinical use case and finally, expand it within other medical fields.